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Recommender systems
Results: 381

#	Item
261	Global Co-Operation in the New Millennium The 9th European Conference on Information Systems Bled, Slovenia, June 27-29, 2001 DYNAMIC RECOMMENDATIONS IN INTERNET RETAILING George Prassas, Katherine C. Pramataris, Olga Pa Add to Reading List Source URL: is2.lse.ac.uk Language: English - Date: 2001-05-31 09:37:58 Electronic commerce Information retrieval Retailing Recommender systems Collaborative filtering Online shopping GroupLens Research Personalization Retail Marketing Business Information science
262	Iseller - A Generic and Hybrid Recommendation System for Interactive Selling Scenarios Add to Reading List Source URL: is2.lse.ac.uk Language: English - Date: 2007-05-15 09:34:26 Science Recommender systems Collective intelligence User interface techniques Collaborative filtering Personalization User profile Preference elicitation Usability Information science Information retrieval Human–computer interaction
263	Collaborative Filtering via Concept Decomposition on the Netflix Dataset Nicholas Ampazis1 Abstract. Collaborative filtering recommender systems make automatic predictions about the interests of a user by collecting info Add to Reading List Source URL: www.feeds2.com Language: English - Date: 2009-07-11 14:35:52 Multivariate statistics Linear algebra Matrix theory Collaboration Data analysis Recommender system Collaborative filtering GroupLens Research Cluster analysis Statistics Algebra Mathematics
264	The Browsemaps: Collaborative Filtering at LinkedIn Lili Wu Sam Shah Sean Choi Add to Reading List Source URL: ls13-www.cs.uni-dortmund.de Language: English - Date: 2014-09-04 14:10:22 Social information processing Collaboration Collective intelligence Human–computer interaction Recommender systems LinkedIn Collaborative filtering Personalization Apache Hadoop Information science Computing Information retrieval
265	recommendation in e-commerce Luminis Recommendation Services “We are leaving the age of information and entering the age of recommendation” Add to Reading List Source URL: www.luminis.eu Language: English - Date: 2014-09-15 08:41:28 Social information processing Collective intelligence Science Human–computer interaction Marketing Collaborative filtering Personalization Long Tail Online shopping Information science Recommender systems Information retrieval
266	Journal of Artificial Intelligence Research[removed]503 Submitted 04/06; published[removed]Preference-based Search using Example-Critiquing with Suggestions Paolo Viappiani Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2011-01-18 06:56:34 Information systems Science Recommender system Preference Collaborative filtering Preference-based planning Information science Information retrieval Collective intelligence
267	Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System December 13, 2007 Abstract In stereotype-based recommendation systems, user profiles are represented as an affinity vector of stereoty Add to Reading List Source URL: www.ise.bgu.ac.il Language: English - Date: 2009-10-03 09:14:01 Science Information retrieval Collective intelligence Decision theory Recommender system Operations research Collaborative filtering Analytic Hierarchy Process Cold start Information science Information systems Algebra
268	Social Audio Features for Advanced Music Retrieval Interfaces Michael Kuhn Roger Wattenhofer Add to Reading List Source URL: www.tik.ee.ethz.ch Language: English - Date: 2013-05-02 13:59:15 Information retrieval Recommender systems Collective intelligence Web 2.0 Collaboration Probabilistic latent semantic analysis Music information retrieval Collaborative filtering Last.fm Software Computing Information science
269	Preference Networks: Probabilistic Models for Recommendation Systems Tran The Truyen † , Dinh Q. Phung ‡ and Svetha Venkatesh ‡ Department of Computing, Curtin University of Technology GPO Box U 1987, Perth, WA, Au Add to Reading List Source URL: crpit.com Language: English - Date: 2012-01-19 01:28:26 Social information processing Collaboration Science Collaborative filtering Recommender system Information Cold start GroupLens Research Machine learning Collective intelligence Information science Information retrieval
270	Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks ∗ Yunwen Chen Add to Reading List Source URL: kaggle2.blob.core.windows.net Language: English - Date: 2012-08-23 20:30:49 Information systems Recommender system Collaborative filtering Singular value decomposition Cold start Information filtering system Sheaf Algebra Mathematics Collective intelligence

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